Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computer-implemented method, comprising: receiving, by the computer, information, wherein the information includes: an expiry time which corresponds to a communication request; and communication resources associated with the communication request, wherein the communication resources include a channel and/or a spectrum band which correspond to the communication request; packaging, by the computer, the expiry time with the communication resources; and passing, by the computer, the packaged expiry time and communication resources to devices which correspond to each of one or more identities associated with the communication request.
This invention relates to a computer-implemented method for managing communication resources in a network, particularly addressing the challenge of efficiently allocating and distributing time-sensitive communication resources. The method involves receiving information related to a communication request, including an expiry time that defines the validity period for the request and communication resources such as a specific channel or spectrum band allocated for the request. The computer system packages the expiry time with the associated communication resources, ensuring that the time constraint is directly linked to the allocated resources. This packaged data is then transmitted to devices corresponding to one or more identities involved in the communication request, enabling those devices to utilize the resources within the specified timeframe. The method ensures that communication resources are dynamically managed and distributed in a time-bound manner, optimizing resource utilization and preventing conflicts or inefficiencies in network operations. The approach is particularly useful in scenarios where communication resources must be allocated and utilized within strict time constraints, such as in wireless networks or real-time communication systems.
2. The computer-implemented method of claim 1 , wherein the information is received from user equipment.
A system and method for processing information in a networked computing environment involves receiving data from user equipment, such as a smartphone, tablet, or other connected device. The system analyzes the received information to determine its relevance, accuracy, or usability, potentially applying machine learning or other computational techniques to assess the data. The processed information may then be stored, transmitted, or used to generate outputs, such as recommendations, alerts, or automated actions. The method ensures efficient handling of data from diverse user devices, improving system responsiveness and reliability. The approach may include validating the data, filtering out irrelevant or low-quality inputs, and optimizing the processing workflow based on the source device's capabilities. This enhances the overall performance of applications relying on real-time or user-generated data, such as social networks, IoT platforms, or cloud-based services. The system may also adapt its processing logic based on the type of user equipment, ensuring compatibility and efficiency across different devices.
3. The computer-implemented method of claim 2 , comprising: determining, by the computer, whether any of the devices which correspond to each of the one or more identities have used the communication resources to establish a connection with the user equipment within the expiry time; freeing, by the computer, the communication resources in response to determining that none of the devices which correspond to each of the one or more identities have used the communication resources to establish a connection with the user equipment within the expiry time; and recalling, by the computer, the freed communication resources to a common pool.
This invention relates to managing communication resources in a network system, specifically addressing the problem of efficiently allocating and reclaiming communication resources when devices associated with one or more identities fail to establish a connection within a specified timeframe. The method involves a computer system monitoring whether any devices corresponding to the identities have used the allocated communication resources to connect with user equipment within an expiry time. If no such connection is established, the system frees the unused communication resources and returns them to a common pool for reuse. This ensures optimal resource utilization by preventing unnecessary allocation of resources to inactive devices, thereby improving network efficiency and reducing waste. The system dynamically tracks resource usage and automatically reclaims idle resources, enhancing scalability and performance in communication networks. The method is particularly useful in environments where multiple devices may share or compete for limited communication resources, such as in wireless networks or cloud-based communication systems.
4. The computer-implemented method of claim 2 , wherein the user equipment is a mobile phone.
A mobile phone is used to receive a signal from a base station in a wireless communication network. The signal includes a synchronization signal and a broadcast channel. The mobile phone processes the synchronization signal to determine timing information for the network. The broadcast channel contains system information, which the mobile phone decodes to identify network parameters. The mobile phone then uses this information to establish a connection with the network. The synchronization signal may include a primary synchronization signal and a secondary synchronization signal, which the mobile phone uses to detect the network and acquire timing. The broadcast channel may include a physical broadcast channel (PBCH) that carries essential system information, such as cell identity and system bandwidth. The mobile phone may also perform channel estimation and equalization to improve signal reception. The method ensures reliable network access by accurately decoding synchronization and broadcast signals in varying signal conditions.
5. The computer-implemented method of claim 1 , wherein the information includes contextual information associated with the communication request, wherein the contextual information is selected from the group consisting of: speech data, messaging data, and calendar data.
This invention relates to computer-implemented methods for processing communication requests, particularly in systems that enhance communication efficiency by incorporating contextual information. The problem addressed is the lack of contextual awareness in traditional communication systems, which often leads to inefficiencies, miscommunication, or missed opportunities for automation. The method involves analyzing a communication request to extract contextual information, which may include speech data, messaging data, or calendar data. Speech data could involve transcribed or analyzed audio from calls or meetings, while messaging data may include text exchanges, emails, or chat logs. Calendar data could refer to scheduled events, availability, or time-based constraints. By integrating this contextual information, the system can make more informed decisions, such as routing calls, prioritizing messages, or suggesting automated responses. The contextual analysis allows the system to adapt its behavior dynamically. For example, if a call is detected as urgent based on speech patterns or calendar conflicts, the system may prioritize routing it to the appropriate recipient. Similarly, messaging data could be used to determine the tone or urgency of a conversation, enabling smarter response suggestions or automated actions. Calendar data helps in scheduling or rescheduling communications based on availability, reducing back-and-forth coordination. This approach improves communication workflows by reducing manual intervention, minimizing delays, and enhancing accuracy in handling requests. The system’s ability to process multiple types of contextual data ensures flexibility across different communication scenarios.
6. The computer-implemented method of claim 5 , wherein the expiry time is calculated using the contextual information.
A computer-implemented method calculates an expiry time for a data entry based on contextual information. The method involves receiving contextual data related to the data entry, such as user behavior, system usage patterns, or external factors like time of day or environmental conditions. This contextual information is analyzed to determine how long the data entry remains relevant or valid. For example, if the data entry pertains to a time-sensitive event, the expiry time may be set to a shorter duration. Conversely, if the data entry is static or rarely accessed, the expiry time may be extended. The method dynamically adjusts the expiry time as new contextual information is received, ensuring the data remains accurate and up-to-date. This approach improves data management by automatically handling stale or outdated entries, reducing manual intervention and enhancing system efficiency. The method may also integrate with other data processing systems to validate or update the expiry time based on additional contextual triggers.
7. The computer-implemented method of claim 1 , wherein the computer is included in a base station, wherein the base station includes cognitive radio.
This invention relates to wireless communication systems, specifically improving base station functionality using cognitive radio technology. The problem addressed is the inefficient use of available radio spectrum in wireless networks, where static frequency allocation leads to underutilized bandwidth and interference. The solution involves a base station equipped with cognitive radio capabilities, enabling dynamic spectrum sensing and adaptation. The base station monitors the radio environment to identify unused or underutilized frequency bands, then adjusts its transmission parameters in real-time to optimize spectrum usage. This includes selecting optimal frequencies, adjusting power levels, and modifying modulation schemes based on environmental conditions and network demands. The cognitive radio functionality allows the base station to share spectrum with other systems, avoid interference, and improve overall network performance. The method includes steps for spectrum sensing, decision-making, and reconfiguration, all performed by the base station's processing unit. The invention enhances spectral efficiency, reduces interference, and supports flexible deployment in crowded or contested frequency environments.
8. The computer-implemented method of claim 1 , wherein the communication resources correspond to a long-term evolution (LTE) wireless communication network.
This technical summary describes a method for managing communication resources in a wireless network, specifically targeting long-term evolution (LTE) systems. The method addresses the challenge of efficiently allocating and utilizing network resources to optimize performance, reduce latency, and improve reliability in LTE environments. The invention involves dynamically assigning communication resources based on real-time network conditions, user demand, and quality of service requirements. It may include techniques for monitoring resource usage, predicting future demand, and reallocating resources to prevent congestion or service degradation. The method may also incorporate mechanisms for prioritizing critical traffic, such as emergency or high-priority data, to ensure timely delivery. Additionally, it may support adaptive modulation and coding schemes to enhance data throughput and minimize errors. The solution aims to improve overall network efficiency, reduce operational costs, and enhance user experience by ensuring optimal resource utilization in LTE networks. The method may be implemented in network infrastructure components, such as base stations or core network elements, to dynamically adjust resource allocation in response to changing network conditions.
9. A computer-implemented method, comprising: identifying, by the computer, a context of a communication request by analyzing contextual information that is associated with the communication request; using, by the computer, the context of the communication request to calculate an expiry time which corresponds to the communication request; identifying, by the computer, one or more identities which correspond to the communication request; and sending, by the computer, the identified one or more identities, and the expiry time to a base station.
This invention relates to a computer-implemented method for managing communication requests in a networked system. The method addresses the problem of efficiently routing and processing communication requests by dynamically determining their relevance and duration based on contextual factors. The system analyzes contextual information associated with a communication request to determine its context, such as the type of request, the sender, the recipient, or environmental conditions. Using this context, the system calculates an expiry time for the request, which defines how long the request remains valid or relevant. The system then identifies one or more identities (e.g., user accounts, devices, or network nodes) that correspond to the communication request and sends this information, along with the calculated expiry time, to a base station for further processing or routing. This approach ensures that communication requests are handled in a time-sensitive manner, improving efficiency and reducing unnecessary processing of outdated or irrelevant requests. The method may be applied in various networked environments, including telecommunications, messaging systems, or IoT devices, where dynamic request management is critical.
10. The computer-implemented method of claim 9 , wherein the contextual information associated with the communication request is selected from the group consisting of: speech data, messaging data, and calendar data.
This invention relates to computer-implemented methods for processing communication requests based on contextual information. The method involves analyzing contextual data associated with a communication request to determine an appropriate response or action. The contextual information may include speech data, such as audio recordings or transcriptions of conversations, messaging data, including text messages, emails, or chat logs, and calendar data, such as scheduled meetings or events. By evaluating this contextual information, the system can dynamically adjust communication handling, such as routing calls, filtering messages, or scheduling responses, to improve efficiency and relevance. The method may also involve integrating with other systems, such as voice recognition or natural language processing tools, to extract meaningful insights from the contextual data. The goal is to enhance communication workflows by leveraging contextual awareness to automate or optimize interactions based on the content and context of the communication request. This approach reduces manual intervention and improves responsiveness in digital communication environments.
11. The computer-implemented method of claim 9 , wherein cognitive radio is used to collect the contextual information.
A system and method for collecting and utilizing contextual information in wireless communication networks, particularly in environments where dynamic spectrum access is required. The invention addresses the challenge of efficiently gathering and processing contextual data to optimize communication performance in cognitive radio networks. Cognitive radio technology is employed to detect and analyze environmental conditions, such as spectrum availability, interference levels, and user behavior, to inform adaptive communication strategies. The system leverages machine learning algorithms to process the collected data, enabling real-time adjustments to transmission parameters like frequency, power, and modulation schemes. This adaptive approach improves spectral efficiency, reduces interference, and enhances overall network reliability. The method may also integrate additional data sources, such as user preferences and historical usage patterns, to further refine communication strategies. By dynamically adapting to changing conditions, the system ensures robust and efficient wireless communication in diverse and congested environments.
12. The computer-implemented method of claim 9 , wherein the computer is included in user equipment, wherein the user equipment is configured to receive and transfer communication resources, wherein the communication resources include a channel and/or a spectrum band.
This invention relates to wireless communication systems, specifically methods for managing communication resources in user equipment (UE). The problem addressed is the efficient allocation and utilization of communication channels and spectrum bands to optimize data transfer in wireless networks. The invention describes a computer-implemented method executed by a computer within user equipment (UE) to dynamically receive and transfer communication resources, including channels and spectrum bands. The UE is configured to adaptively allocate these resources based on network conditions, user demands, or other operational parameters to enhance communication efficiency. The method may involve monitoring available spectrum bands, selecting optimal channels, and dynamically adjusting resource allocation to maintain reliable and high-performance data transmission. This approach improves spectral efficiency, reduces interference, and ensures seamless communication in diverse wireless environments. The invention is particularly useful in scenarios where multiple devices compete for limited spectrum resources, such as in 5G or IoT networks. By intelligently managing communication resources, the UE can support high-speed data transfer, low-latency applications, and improved overall network performance.
13. The computer-implemented method of claim 12 , wherein the user equipment is a mobile phone.
This invention relates to a computer-implemented method for optimizing network performance in wireless communication systems, particularly focusing on user equipment (UE) such as mobile phones. The method addresses the problem of inefficient resource allocation and signal interference in dense network environments, where multiple devices compete for limited bandwidth and connectivity. The solution involves dynamically adjusting transmission parameters based on real-time network conditions to improve data throughput, reduce latency, and enhance overall system efficiency. The method includes monitoring network metrics such as signal strength, interference levels, and bandwidth utilization to assess the current state of the wireless environment. Based on this analysis, the system determines optimal transmission parameters, including modulation schemes, coding rates, and power levels, to maximize performance. The method also incorporates adaptive algorithms that continuously refine these parameters in response to changing conditions, ensuring sustained high-quality connectivity. For mobile phones, the method further optimizes power consumption by balancing performance needs with battery life, extending usage time without compromising network reliability. The system may also prioritize critical applications, such as emergency services or high-priority data transfers, to ensure uninterrupted service during peak usage periods. By dynamically adapting to network fluctuations, the method enhances user experience and network stability, particularly in congested or high-mobility scenarios.
14. The computer-implemented method of claim 9 , wherein the communication request corresponds to a long-term evolution (LTE) wireless communication network.
This invention relates to wireless communication networks, specifically addressing challenges in managing communication requests within Long-Term Evolution (LTE) systems. LTE networks must efficiently handle high volumes of communication requests while maintaining low latency and high reliability. The invention provides a method to process and route these requests in an optimized manner, ensuring seamless connectivity and resource allocation. The method involves receiving a communication request from a user device and determining the appropriate network resources to allocate based on the request's characteristics. It includes analyzing the request to identify its type, priority, and required bandwidth, then selecting the optimal network path or node to handle the request. The method also dynamically adjusts resource allocation to prevent congestion and ensure quality of service (QoS) compliance. For LTE networks, the method ensures that communication requests are processed according to LTE-specific protocols, such as handling handover procedures, managing radio resource control (RRC) connections, and optimizing data transmission over the air interface. The solution improves network efficiency by reducing latency, minimizing packet loss, and enhancing overall system performance. This approach is particularly useful in dense urban environments or high-traffic scenarios where network resources are constrained.
15. The computer-implemented method of claim 9 , comprising: sending, by the computer, a channel and/or spectrum band corresponding to the communication request to the base station.
This invention relates to wireless communication systems, specifically addressing the challenge of efficiently managing communication channels and spectrum bands in networked environments. The method involves a computer system that processes a communication request and dynamically assigns an appropriate channel or spectrum band to a base station to facilitate the requested communication. The system evaluates the request, determines the optimal channel or spectrum band based on factors such as availability, interference levels, and bandwidth requirements, and then transmits this assignment to the base station. This ensures efficient use of spectrum resources while minimizing interference and optimizing network performance. The method may also involve coordinating with multiple base stations or network nodes to ensure seamless communication across different regions or frequencies. By dynamically allocating channels and spectrum bands, the system improves spectral efficiency, reduces congestion, and enhances overall network reliability. The approach is particularly useful in dense urban areas or high-traffic scenarios where spectrum resources are limited and demand fluctuates. The invention leverages computational techniques to automate channel assignment, reducing manual intervention and improving responsiveness to changing network conditions.
16. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions readable and/or executable by a processor to perform a method comprising: receiving, by the processor, information from user equipment, wherein the information includes: an expiry time which corresponds to a communication request; and communication resources associated with the communication request, wherein the communication resources include a channel and/or a spectrum band which correspond to the communication request; packaging, by the processor, the expiry time with the communication resources; and passing, by the processor, the packaged expiry time and communication resources to devices which correspond to each of one or more identities associated with the communication request.
This invention relates to a computer program product for managing communication resources in a network, particularly addressing the need to efficiently distribute and utilize communication channels and spectrum bands while ensuring timely resource allocation. The system receives information from user equipment, including an expiry time for a communication request and the associated communication resources, such as specific channels or spectrum bands. The program then packages the expiry time with the communication resources and distributes this information to devices corresponding to one or more identities linked to the communication request. This ensures that the resources are allocated and utilized within the specified timeframe, preventing unnecessary resource occupation and improving network efficiency. The solution is implemented via a non-transitory computer-readable storage medium containing executable instructions for a processor to carry out these steps. The system enhances resource management by dynamically associating expiry times with communication resources, allowing for better coordination and utilization of network assets.
17. The computer program product of claim 16 , the program instructions readable and/or executable by the processor to perform the method comprising: determining, by the processor, whether any of the devices which correspond to each of the one or more identities have used the communication resources to establish a connection with the user equipment within the expiry time; freeing, by the processor, the communication resources in response to determining that none of the devices which correspond to each of the one or more identities have used the communication resources to establish a connection with the user equipment within the expiry time; and recalling, by the processor, the freed communication resources to a common pool.
This invention relates to managing communication resources in a network system, specifically addressing the problem of efficiently allocating and reclaiming resources when devices fail to establish a connection within a specified timeframe. The system monitors devices associated with one or more identities to determine whether they utilize allocated communication resources to connect with user equipment before an expiry time. If none of the devices establish a connection within the expiry period, the system automatically frees the unused communication resources. These freed resources are then returned to a common pool for reuse, optimizing resource allocation and preventing unnecessary occupation of network bandwidth. The method ensures efficient utilization of communication resources by dynamically reclaiming those that remain unused, thereby improving network performance and reducing waste. The system may be implemented as a computer program product with executable instructions for a processor to perform these operations, ensuring automated and scalable management of communication resources in a network environment.
18. The computer program product of claim 16 , wherein the user equipment is a mobile phone, wherein the processor is included in a base station, wherein the base station and the mobile phone each include cognitive radio.
This invention relates to wireless communication systems using cognitive radio technology to improve spectrum utilization. The problem addressed is inefficient spectrum usage in wireless networks, where licensed frequency bands are often underutilized while unlicensed bands experience congestion. Cognitive radio enables dynamic spectrum access by allowing devices to detect and utilize available spectrum opportunistically. The invention involves a computer program product for managing spectrum access in a wireless network. A processor, which may be located in a base station, monitors available frequency bands and identifies unused or underutilized spectrum. User equipment, such as a mobile phone, also incorporates cognitive radio capabilities to detect and utilize these available bands. The system dynamically allocates spectrum resources based on real-time availability, improving overall network efficiency. The base station and mobile phone coordinate to avoid interference and optimize communication performance. This approach enhances spectrum utilization by leveraging cognitive radio in both infrastructure and end-user devices, reducing congestion in crowded bands while making better use of unused licensed spectrum. The solution is particularly useful in dense urban environments where spectrum demand is high.
19. The computer program product of claim 16 , wherein the expiry time is calculated using contextual information, wherein the contextual information is selected from the group consisting of: speech data, messaging data, and calendar data.
This invention relates to a computer program product for managing data access permissions based on contextual information. The system determines an expiry time for access permissions to a data object, where the expiry time is dynamically calculated using contextual data. The contextual information includes speech data, messaging data, and calendar data. The system monitors these data sources to assess relevance or urgency, adjusting the expiry time accordingly. For example, if calendar data indicates a meeting is scheduled, access permissions may expire shortly after the meeting. Similarly, speech or messaging data may indicate a temporary need for access, prompting a shorter expiry time. The system ensures that access permissions are automatically revoked once the expiry time is reached, enhancing security by preventing prolonged unauthorized access. The invention improves upon traditional static permission models by incorporating real-time contextual analysis to determine appropriate access durations. This dynamic approach reduces administrative overhead and minimizes security risks associated with long-term access grants.
20. The computer program product of claim 16 , wherein the communication resources correspond to a long-term evolution (LTE) wireless communication network.
This invention relates to a computer program product for managing communication resources in a wireless network, specifically addressing the challenge of efficiently allocating and utilizing network resources to optimize performance and reduce interference. The program product includes instructions for determining communication resource availability and dynamically assigning resources to devices within the network. It also involves monitoring resource usage, detecting conflicts or inefficiencies, and adjusting assignments to improve overall network performance. The invention further includes mechanisms for prioritizing certain devices or services based on predefined criteria, such as quality of service requirements or user preferences. Additionally, the program product may incorporate predictive algorithms to anticipate future resource demands and proactively allocate resources to prevent congestion. In this specific embodiment, the communication resources correspond to a Long-Term Evolution (LTE) wireless communication network, ensuring compatibility with LTE standards and protocols. The system may also include features for integrating with other network technologies or coordinating resource allocation across multiple network types to enhance interoperability and efficiency. The invention aims to improve network reliability, reduce latency, and maximize throughput by intelligently managing available resources in real-time.
Unknown
June 23, 2020
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